• Title/Summary/Keyword: NDIV

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An Analysis on Spatio-Temporal Changes of Land Cover focusing on NDVI Using GIS and RS in Pyeongbuk Province, Northwest Korea (GIS와 RS를 이용한 토지피복 및 식생 분포의 시ㆍ공간적 변화 - 평안북도 서부 지역을 중심으로 -)

  • 이민부;김남신;최한성;신근하
    • Journal of the Korean Geographical Society
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    • v.38 no.5
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    • pp.835-848
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    • 2003
  • This study deals with the spatio-temporal change of land cover and vegetation distribution between 1988 and 2001 using remote sensing images and CIS techniques in west area of Pyeongbuk Province, northwest Korea. Landsat TM and ETM images are geometrically and radiometrically corrected for the analysis of land cover and NDVI. Forested areas are decreased during 13 year from 1988 to 2001 in study area including Sakju, Daegwan, Guseong and Euiju of Pyeongbuk Province, because wasteland are increased by human impact and denuded land by landslide and flooding. DEM analysis presents that settlement and cropland are developed toward higher and steeper mountain slope, together with decrease NDIV values. these changes have resulted from unplanned increase of cropland without consideration of geomorphic condition. Therefore, more researches and reasonable policies are required to protect forest and cropland and stable food supply against natural hazard like landslide.

Efficiency Assessment of Analysing Coastal Geomorphic Landscape Change by Satellite Image Interpretation (위성영상을 이용한 해안습지 지형경관 변화 분석의 효율성 평가)

  • 박의준;구자용
    • Journal of the Korean Geographical Society
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    • v.38 no.5
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    • pp.822-834
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    • 2003
  • It is difficult to analyse geomorphic landscape changes effectively by a field survey. A satellite image interpretation may play an important role to overcome such a problem. The purpose of this study is to assess the accuracy of different method to identify geomorphic landscape change by using satellite imagery. The study area is the Yongjong coastal wetland in which a huge man-made environmental change occured to build a new international airport in the past decade. These changes may be summarized that a coastal landscape has been changed to a terrestrial landscape, and also a natural landscape to a man-made landscape. In order to detect these changes, we applied three different satellite interpreting methods, including a binary change mask using band difference. a binary change mask using normalized band difference. and a binary change mask using NDVI. We concluded that a binary change mask using NDVI is the best method among three different methods analysing the coastal geomorphic-landscape changes.